
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Cursor keeps chat history in two different SQLite databases depending on whether you used the IDE or the CLI, and it has moved the IDE format three times.
Four things make Claude Code sessions vanish from the picker, and only one deletes anything. Check the other three before you conclude the work is gone.
Which file Claude Code reads, what the entry looks like, and the one key that makes a correctly configured server register and then expose no tools at all.
Claude Code keeps every session as a JSONL file on disk. Two built-in commands show you part of it, the files show you the rest, and neither one searches.
Compaction decides what survives unless you decide for it. Passing instructions to /compact, and the PreCompact hook that supplies them every time.
The percentage in the status line, what makes it fall, how to move the threshold, and what actually happens to your conversation when it reaches zero.
One summarizes the conversation and keeps going. The other starts a fresh one. What each does to the transcript on disk, and which to reach for.
Auto memory writes notes about your preferences per repository, on one machine. What it is good at, the four boundaries it does not cross, and what to pair it with.
Exact paths and formats for every AI coding tool chat-recall reads: and the retention period that quietly deletes them.
Partly, and the part it forgets is the expensive one. What CLAUDE.md, auto memory and --continue each carry across, and what none of them carry.
Deleting the chat does not remove it. Where the key actually lives, how to find every session that contains one, and what to do in what order.
Knowledge-graph stores, note-takers and session indexes are three different products wearing one label. Which one you need depends on a single question.
What auto-compact does to a long session, why the assistant starts contradicting itself afterwards, and how to get the lost detail back instead of retyping it.
A practical setup for working across several AI coding tools at once: what breaks when you switch tools, and how to keep one memory across all of them.
claude --continue resumes one session, in one tool, in one directory. What to use when the thing you need is older than that, or was not in Claude Code at all.
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